A PyTorch library for differentiable sparse linear system solvers with automatic differentiation support.
A hands-on collection of Jupyter Notebooks exploring key features of the SciPy library – from constants and optimization to sparse data and graph algorithms. Perfect for students, researchers, and anyone diving into scientific computing with Python.
Python bindings for the SuiteSparse KLU sparse linear solver. PyKLU factors a sparse matrix once and lets you efficiently solve multiple right-hand sides.
I worked on the topology optimization of bicycle frames for my graduation thesis at Akashi College.
Type hints for scipy sparse module
Hierarchical flow ranking and parametric motif extraction for the adult Drosophila connectome.
An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.
pybear is a scikit-style Python computing library that augments data analytics functionality found in popular packages like scikit-learn and xgboost.
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